Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a LLP Platform Engineer/Lead who will be part of our Engineering team. 👏

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The Team

The Platform Engineering team owns Real-time bidding (RTB) platform, a Real-time budget system, Real-time event processing, Stream data processing engine and multiple other complex large-scale distributed components and data pipelines. We work closely with data scientists, data analysts, product and business teams. We are responsible for some of the most technically challenging work, for example:

Handling ~2 Million Req/sec in sub-millisecond latency
Handing & managing ~Petabytes of data
Managing distributed systems deployed across multiple data centers
Optimizing JVM and Linux kernel for optimal performance
Managing our own data center spread across the globe consisting of thousand of powerful servers
Working on some of the most challenging problems of Ad-Tech

Sounds interesting. Isn't it?

About the Role

We are looking for an LLPlatform Engineer /Lead who can evangelise AI across the company and build the foundational tooling, frameworks, and workflows that allow teams to ship AI-powered features quickly and safely. This role is ideal for an engineer who understands modern AI capabilities and focuses on developer velocity, reuse, and production readiness rather than training complex models from scratch.

Responsibilities

Design and build internal AI frameworks, SDKs, and shared libraries
Enable teams to integrate AI features with minimal friction
Set up standardized patterns for using LLMs, embeddings, agents, and workflows
Build reusable components for prompt management, evaluation, observability, and safety
Define best practices for AI usage, cost control, and reliability
Evangelise AI internally through documentation, examples, and hands-on guidance
Rapidly prototype AI-powered features and turn them into reusable building blocks
Own AI tooling from experimentation to production

Requirements

AI Tooling & Framework Experience (Core Focus)

Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.)
Experience with RAG pipelines, embeddings, vector databases
Familiarity with prompt engineering, prompt versioning, and evaluation
Experience with AI orchestration frameworks
Understanding of AI observability, cost monitoring, and failure modes
You’ve shipped at least one LLM-powered feature to production and iterated based on telemetry or user feedback.
Comfortable with embeddings, fine-tuning, vector search, tokenization, and evaluation methodologies.
Familiar with data lakes/warehouses, feature stores, and streaming/batch ETL; cloud (AWS/GCP/Azure).

Strong Engineering & Platform Skills

Excellent Python skills (required)
Experience building frameworks, platforms, or developer tooling
Strong understanding of APIs, services, and system design
Writes clean, maintainable, production-grade code

Startup Mindset

Bias for shipping and iteration
Can translate AI complexity into simple abstractions
Comfortable with ambiguity and rapid change
Thinks in terms of leverage and reuse, not one-off solutions

Less About

Heavy model training or research
Designing custom ML algorithms
Academic optimization work.

Nice to have

Experience with agent-based systems and tool calling
Experience setting up guardrails, moderation, and safety checks
Familiarity with Docker, cloud infra, and CI/CD
Prior work in platform teams or enablement roles

What do we offer?

Reporting directly to Co-founder & CTO
Direct access to top management and an extremely “visible” role
Exceptional career growth and learning opportunity
A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain and many more countries
A flexible work-from-home arrangement
A 500-dollar home-office setup budget
A 1000-dollar annual learning and development budget

LLM Platform Engineer/Lead (m/f/d)

EMEA

Remote

Senior

Kayzen